The term "Data Cleaning" is used to describe outlier checking, date parsing, missing value imputation to structuring datasets (organizing data values within a dataset) to facilitate analysis.
The latter is commonly referred to as "Data Tidying" but what about the former? I have seen outlier checking, date parsing and missing value imputation referred to as "soft processing", however I wonder if this is a commonly used term.
If I describe a component of data cleaning as "soft processing" is it reasonable to assume that knowledgeable people will know that I am referring to outlier checking, date parsing and missing value imputation?
In the field of Data Science, is there a commonly accepted phrase or term that umbrellas outlier checking, date parsing and missing value imputation.
